Data Engineering Architect
Tasks: - Develop and execute a cloud data strategy aligned with organizational goals.
- Design robust data architectures in Microsoft Azure.
- Lead data integration efforts, including ETL processes, to ensure seamless data flow.
- Implement security measures and compliance standards in cloud environments.
- Continuously monitor and optimize data solutions for
- efficiency. - Establish and enforce data governance and quality standards.
- Leverage Azure services, as well as tools like dbt and Databricks, for efficient data pipelines and analytics solutions.
- Work with
- functional teams to understand requirements and provide data solutions. - Maintain comprehensive documentation for data architecture and solutions.
- Mentor junior team members in cloud data architecture best practices.
- efficiency.
- functional teams to understand requirements and provide data solutions.
Requirements: - 10+ years of professional experience in the Data & Analytics area.
- 2+ years of experience in the Architect or Senior Consultant role with a strong focus on Azure data solutions.
- Good understanding of business processes and the ability to drive automation through effective management.
- Advanced or expert level knowledge and understanding of architecture, application design, systems engineering, and integration.
- Exposure to multiple, diverse technologies and processing environments.
- Bachelor's degree in computer science, information technology, or related field. Master's degree a plus.
- Proven Cloud Data Architect experience with a focus on Azure, dbt, and Databricks.
- In-depth knowledge of cloud data services, data warehousing, big data technologies, and data lakes.
- Expertise in data modeling, data integration, and ETL processes.
- Familiarity with data governance, data security, and compliance standards.
- Proficiency in Python, Py
Spark, SQL. - Strong
- solving and analytical skills. - Excellent communication and interpersonal skills.
- Relevant certifications in Azure (e. g. , Azure Data Engineer) a plus.
- Experience with data visualization tools (e. g. , Power BI, Tableau) is advantageous.
- Familiarity with agile methodologies and the ability to apply Dev
Ops and Data
Ops principles to data pipelines. - Strong
- solving skills and attention to detail. - Fluency in English
Spark, SQL.
- solving and analytical skills.
Ops and Data
Ops principles to data pipelines.
- solving skills and attention to detail.
We offer:- Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
- “Office as an option” model. You can choose to work remotely or in the office, depending on your location.
- Flexibility regarding working hours and your preferred form of contract.
- Comprehensive online onboarding program with a “Buddy” from day 1.
- Cooperation with
- tier engineers and experts. - Unlimited access to the Udemy learning platform from day 1.
- Certificate training programs. Lingarians earn 500+ technology certificates yearly.
- Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
- Internal Gallup Certified Strengths Coach to support your growth.
- Grow as we grow as a company. 76% of our managers are internal promotions.
- A diverse, inclusive, and
- driven community. - Autonomy to choose the way you work. We trust your ideas.
- Create our community together. Refer your friends to receive bonuses.
- Activities to support your well-being and health.
- Plenty of opportunities to donate to charities and support the environment.
- Modern office equipment. Purchased for you or available to borrow, depending on your location.
- tier engineers and experts.
- driven community.
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